ECTS credits ECTS credits: 3
ECTS Hours Rules/Memories Total: 0
Use languages Spanish, Galician, English
Type: Training complements PhD RD99/2011
Departments: Botany, Plant Production and Engineering Projects, Departamento del Área del Profesional de la USC 991
Areas: Botany, Plant Production, Área del Profesional e la USC
Center Higher Polytechnic Engineering School
Call: Annual
Teaching: With teaching
Enrolment: Enrollable
Introduce the student to the study of classical experimental design models, studying the statistical inference techniques associated with these models and the conditions to apply them. Present the basic notions for obtaining and interpreting results using statistical tools (R and SPSS software). Data collection and analysis with the techniques learned.
• BLOCK 1:
Sample design: simple random, stratified random, systematic sampling. Sampling types: transects, squares, lines. Determination of the number of samples. Variables to measure: density, frequency, coverage.
• BLOCK 2
Field samples. Sampling in agricultural systems. Sampling in forest systems. Sampling in agroforestry systems.
• BLOCK 3
Design of experiments: basic terminology and methodology, one-factor designs, multiple comparisons, designs with several factors of interest (models without replication and with replication)
Cabinet practices to perform various types of sampling, and measure density, frequencies and coverage.
Practices in the computer room where practical cases of agroforestry systems will be presented to apply the techniques exposed in the theoretical sessions
Using the statistical software R and SPSS, the exploratory analysis of the information, selection and application of the appropriate data analysis technique, interpretation of results and preparation of their report will be carried out.
Synchronous online field visit
BROWER, J. E., ZAR, J. H. Y VON ENDE, C. N. (1997): Field and Laboratory Methods for General Ecology, 4ª ed. McGraw-Hill.
CLEWER, A.G.; SCARISBRICK, D.H. (2013): Practical statistics and experimental design for plant and crop science. Wiley.
HENDERSON, P. A. (2003): Practical Methods in Ecology. Blackwell.
LAWSON, J. (2015): Design and Analysis of Experiments with R. CRC Press.
LOGAN, M. (2010): Biostatistical design and analysis using R : a practical guide. Wiley-Blackwell.
MAINDONALD, J.; BRAUN, W. J. (2010): Data Analysis and Graphics Using R. An Example-Based Approach. Cambridge.
MONTGOMERY, C. D. (2005): Diseño y análisis de experimentos. Limusa-Wiley.
MOSQUERA-LOSADA M.R., MCADAM J., RIGUEIRO-RODRÍGUEZ A. (2006): Silvopastoralism and sustainable land management. CABInternational.
RIGUEIRO-RODRÍGUEZ A., MCADAM J., MOSQUERA-LOSADA M.R. (2008): Agroforestry in Europe. Springer.
SMITH, R. L. (1990): Ecology and field biology. Harper Collins Publishers. New York.
TERRADAS, J. (2001): Ecología de la vegetación. Ediciones Omega. Barcelona.
Specific:
Decision making on the type of sampling, variables to be measured, analysis and interpretation of results.
Decide which is the most appropriate design to apply to each particular situation.
Choose the appropriate data analysis technique for each case.
Be able to check the reliability of the initial data and the underlying assumptions of a given technique.
Use statistical packages to obtain results and interpret the results.
Understand and comment on scientific works that use experimental designs and multivariate methods as a data analysis tool.
The subject will be structured in a series of synchronous online lectures, supported by practices in the computer room in which the student must learn to solve practical cases in groups based on the lectures.
At the end of each topic or block of topics, students will have a practice script in which the resolution of practical cases and the interpretation of a scientific article are proposed in which the statistical techniques studied in class and carried out in practices are used. . All this will be presented in a practice notebook. In addition, they will carry out work individually, different for each student, in order to analyze and interpret experiences in the field of agroforestry systems.
This subject will appear among those offered from the USC-Virtual (Virtual Campus of the USC). Here you can find all the support material for the face-to-face classes (computer presentations, practice script, data for solving the examples and practices...) There will also be information related to the follow-up of the subject and autonomous work (calendar of work, practice groups, scientific articles to review...). Doubts can be consulted and all the resources offered from the USC Virtual Campus can be used.
For cases of fraudulent completion of exercises or tests, the provisions of the "Regulations for evaluating the academic performance of students and reviewing grades" will apply.
In order to assess both formal and content learning, a final test of presentation of works will be held on the official dates. Throughout the course, activities will be proposed for the evaluation of the continuous monitoring of the classes, also assessing the attendance and presentation of the practical report. Those students who pass these tests for continuous monitoring of the subject will not have to take the final exam.
ECTS: 3
Estimated workload: 76 h.
Total face-to-face/virtual: 24h.
Individual work (estimated): 52 h. (study and preparation of the activities proposed to the students)
It is recommended to have a good level of English and knowledge of agricultural and forestry terminology
María Rosa Mosquera Losada
Coordinador/a- Department
- Plant Production and Engineering Projects
- Area
- Plant Production
- mrosa.mosquera.losada [at] usc.es
- Category
- Professor: University Professor
Ignacio Garcia Gonzalez
- Department
- Botany
- Area
- Botany
- ignacio.garcia [at] usc.es
- Category
- Professor: University Lecturer
Nuria Ferreiro Dominguez
- Department
- Departamento del Área del Profesional de la USC 991
- Area
- Área del Profesional e la USC
- nuria.ferreiro [at] usc.es
- Category
- Profesional de la USC
Francisco Javier Rodríguez Rigueiro
- Department
- Departamento del Área del Profesional de la USC 991
- Area
- Área del Profesional e la USC
- fj.rodriguez.rigueiro [at] usc.es
- Category
- Profesional de la USC